Structured data makes the Web go around. Search engines love it when webmasters mark up page content. Google’s rich snippets, for instance, leverages sites’ use of microdata (preferred format), or RDFa or microformats: It makes it possible to highlight in a few lines specific types of content in search results, to give users some insight about what’s on the page and its relationship to their queries – prep time for a recipe, for instance.

Plenty of web sites generated from structured data haven’t added HTML markup to their pages, though, so they aren’t getting the benefits that come with search engines understanding the information on those web pages.

Maybe that will change, now that Google has introduced Data Highlighter, an easy way to tell its search engine about the structured data behind their web pages. A video posted by Google product management director Jack Menzel gives the snapshot: “Data Highlighter is a point- and-click tool that allows any webmaster to show Google the patterns of structured data on their pages without modifying the pages themselves,” he says.

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Manu Sporny recently voiced his personal objection to the W3C microdata candidate recommendation. He writes, “The HTML Working Group at the W3C is currently trying to decide if they should transition the Microdata specification to the next stage in the standardization process. There has been a call for consensus to transition the spec to the Candidate Recommendation stage. From a standards perspective, this is a huge mistake and sends the wrong signal to Web developers everywhere. The problem is that we already have a set of specifications that are official W3C recommendations that do what Microdata does and more. RDFa 1.1 became an official W3C Recommendation last summer.”

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Photo credit: FlickR/crd!

With Thanksgiving Day, Black Friday and Small Business Saturday behind us, and Cyber-Monday right in front of us, it is clear the holiday season is in full force. Apparently, retailers – both online and real-world – are doing pretty well as a group when it comes to sales racked up.

Reports have it that e-commerce topped the $1 billion mark for Black Friday in the U.S. for the first time this year, with Amazon, Walmart, Best Buy, Target and Apple taking honors as the most visited online stores, according to ComScore. Consumers spent $11.2 billion at stores across the U.S. on Black Friday, said ShopperTrak, down from last year but probably impacted by more people heading out to more stores for deals that began on Thursday night. The National Retail Federation put total spending over the four-day weekend at a record $59.1 billion, up 13 percent from $52.4 billion last year.

Not surprisingly, semantic technology wants in on the shopping action. Social intelligence vendor NetBase, for instance, just launched a new online tool that analyzes the web for mentions of the 10 top retailers to show the mood of shoppers flocking to those sources. The Mood Meter, which media outlets and others can embed in their sites, ranks the 10 brands based on sentiment unearthed with the help of its natural language processing technology.  Read more

Schema.org has announced that GoodRelations is now fully integrated into the markup vocabulary backed by Google, Yahoo!, Bing/Microsoft, and Yandex (read our past schema.org coverage). GoodRelations is the e-commerce vocabulary that has been developed and maintained by Martin Hepp since 2002 (previous coverage).

In the official announcement, R.V. Guha (Google) says, “Effective immediately, the GoodRelations vocabulary (http://purl.org/goodrelations/) is directly available from within the schema.org site for use with both HTML5 Microdata and RDFa. Webmasters of e-commerce sites can use all GoodRelations types and properties directly from the schema.org namespace to expose more granular information for search engines and other clients, including delivery charges, quantity discounts, and product features.”

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This week the United Nations revised its findings of three years ago that more than 1 billion people worldwide were going hungry. In its 2012 State of Food Insecurity in the World report, it revised its figures of undernourished people to closer to 870 million, about the same as it is today, according to reports.

The report actually presents new estimates of the number and proportion of undernourished people going back to 1990, finding that progress in reducing hunger has been more pronounced than previously believed – especially before 2007-2008. “The revised results imply that the Millennium Development Goal (MDG) target of halving the prevalence of undernourishment in the developing world by 2015 is within reach, if appropriate actions are taken to reverse the slowdown since 2007–08,” the report states.

The U.N. isn’t the only organization tracking the state of global hunger, though. The Global Hunger Index (GHI) demo is a tool adapted and developed by the International Food Policy Research Institute (IFPRI) to comprehensively measure and track global hunger – and standing behind it is LODSPeaKr (Linked Open Data Simple Publishing Kit).

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“The idea of the Big S Semantic Web seems to have fallen off by the wayside in publishing as people are just trying to structure their data,” says Barbara McGlamery, taxonomist at Martha Stewart Living Omnimedia.

McGlamery, who will be presenting a case study comparing her experiences in two publishing houses that took opposite approaches to the semantic web at the SemTech conference in NYC this month, says that the path most publishers are on now “hardly seems like the same beast” as the one she formerly knew. A few years back, the focus was on RDF, OWL, full-blown ontologies and inferencing engines, whereas today “it’s schema.org and we’re using microdata, not even RDFa.”

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Mind Development and Design has shared an infographic on The Importance of RDFa. The article states, “RDFa (or Resource Description Framework – in – attributes) is a W3C Recommendation that adds a set of attribute-level extensions to HTML, XHTML and various XML-based document types for embedding rich metadata within Web documents. What does that mean? It means that RDFa give your content more meaning… it allows content to make sense to the search engines.” Read more

Stéphane Corlosquet has written an article examining data descriptions for plugable serializations of Drupal entities. He writes, “There’s been lots of discussions on various approaches for serializing entities in the WSCCI group and with Drupal 8 feature freeze only a few months away, it’s time to start coding. JSON-LD was chosen as a potential good candidate for serializing Drupal entities. One of the key features of JSON-LD is the ability to include a @context along with your data. This context describes the data present in the JSON document and is useful for consumers to understand how to best make use of the data.” Read more

Google has announced the addition of a “Structured Data Dashboard” as a new feature in its Webmaster Tools offerings. The Dashboard gives webmasters greater visibility into the structured data that Google knows about for a given website. This will no doubt come as good news to people wanting confirmation that Google was consuming the structured data being published.

Google’s Rich Snippet Testing Tool has been around for a while and allows webmasters to see how their semantic markup might appear in a Rich Snippet. There are tools that allow developers to test semantic markup during the development process. However, until now there has not been a good way for a webmaster to see how (or even if) Google was consuming the structured markup in a given site.

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Dan Brickley announced today that schema.org has added the property “additionalType” to the basic building block, schema.org/Thing. As Brickley says, “The additionalType property makes it possible for Microdata-based publishers to list several relevant types, even when the types are from diverse, independent schemas. This is important for schema.org as it allows our markup to be mixed with other systems, without making it too hard for consuming applications to interpret. A description can use a schema.org type as a base, but mention others (e.g. from DBpedia, Freebase, eventually Wikidata…) to improve the specificity and detail of the description.”

As RDFa already allows for use of multiple vocabularies (through the ‘typeOf’ attribute), it is recommended that RDFa publishers use that native syntax.

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